… Artificial Intelligence (AI) is a set of models and … interpretability and the topic eXplainable
Artificial Intelligence (XAI) to justify … trust and AI, explainable AI, and explainable AI and intrusion …

… This paper presents a use case of wound type classification in the healthcare domain using
an explainable artificial intelligence model. The proposed model is used to augment decision…

… extent of explainability. In this work, we (1) briefly analyze the definitions of explainability
from … Infusing domain knowledge in ai-based” black box” models for better explainability with …

… Explainable Artificial Intelligence (XAI) holds great promise in addressing the challenges
of … AL Beam, "The false hope of current approaches to explainable artificial intelligence in …

… the explainable AI research program. The present discussion focuses on efforts to solve the
black box … In contrast, the discussion will not consider efforts to avoid the black box problem …

… The quest to open black box artificial intelligence (AI) systems evolved into an emerging …
about the rise of the research field of explainable artificial intelligence (XAI). With its pluralistic …

… black boxes for humans, even eluding the understanding of experts [18]. Moreover, purportedly
ante-hoc explainable … black boxes. In this regard, models that are, in principle, ante-hoc …

… aided XAI system for better explainability for an IDS. The infusion of CIA principles in the
XAI-based black box model provided better explainability and generalizability. This was shown …

… explain their black-box models and reveal how they work. These methods are called eXplainable
… Interpretable explanations of black boxes by meaningful perturbation. In Proceedings …

… The number of scientific articles, conferences and symposia around the world in eXplainable
Artificial Intelligence (XAI) have significantly increased over the last decade [1], [2]. This has …